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Spec-driven development with AI agents: constitutions, checkpoints, and handoffs

AI coding agents are strangely lopsided. Hand one a well-scoped task and it writes better code,...

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Spec-driven development with AI agents: constitutions, checkpoints, and handoffs

Spec-driven AI development uses frozen plans, checkpoints, and handoff documents to prevent context rot and hallucination on long features—keeping code reviewable. For engineering teams: AI agents stay grounded, diffs remain reviewable, decisions don't flip. Essential for sustainable velocity.

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How to govern agentic AI, MCPs, and AI code assistants

86% of engineering leaders worry agentic AI without governance accelerates technical debt. Governance shifts from model choice to permission controls: composite identity linking agent to human, tool approval guardrails, and audit trails for every autonomous action.

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venerdì 31 luglio 2026·about.gitlab.com
How to govern agentic AI, MCPs, and AI code assistants
AI agents can write, push, and deploy without human review at each step. Learn a practical framework for controlling access, permissions, and audit trails.
venerdì 31 luglio 2026·dev.to
Context-as-Code: How to Stop AI from Silently Killing Your Team's Codebase
Take 5 developers. Put them on the same Git repo. Let them freely use Cursor, Copilot, or Cline...

Spec-driven development with AI agents: constitutions, checkpoints, and handoffs

Confronto fonti

Spec-driven development with AI agents: constitutions, checkpoints, and handoffs

How to govern agentic AI, MCPs, and AI code assistants

Timeline cronologica

How to govern agentic AI, MCPs, and AI code assistants

Context-as-Code: How to Stop AI from Silently Killing Your Team's Codebase

Supercharging AI Coding Agents & Custom Agent Runtimes with Persistent Memory: A Detailed Cookbook

Spec-driven development with AI agents: constitutions, checkpoints, and handoffs

Code First, Specs After: A Practical Guide to AI-Driven Development